code: def train_fn():
      return logistic_classification_learner(
          target="target",
          prediction_column="prediction",
          weight_column="w",
          params={"random_state": 52},
      )
  
file_path: fklearn/tests/tuning/test_samplers.py
imports: import pandas
  import pytest
  from tests import LOGS, PARALLEL_LOGS
  from toolz.curried import first
  from fklearn.metrics.pd_extractors import evaluator_extractor
  from fklearn.training.classification import logistic_classification_learner
  from fklearn.tuning.samplers import remove_by_feature_importance, remove_by_feature_shuffling, remove_features_subsets
  from fklearn.validation.evaluators import roc_auc_evaluator
label_desc: Use image node_id 7 for calling a global function with example usage: train_fn() and returns: logistic_classification_learner